坦桑尼亚与泰国对比

坦桑尼亚与泰国：热带夜

2014 年热带夜：坦桑尼亚为 106.3 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 180.1 夜，是坦桑尼亚的 2.69 倍。

在地图上查看其变化

每年夜数 · CMIP6

坦桑尼亚与泰国：热带夜2014 年热带夜：坦桑尼亚为 106.3 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 180.1 夜，是坦桑尼亚的 2.69 倍。
坦桑尼亚泰国CMIP6 模型中位数（SSP2-4.5，中间路径）模型第 10–90 百分位

数据解读

  • 自 1950 年以来，在两国都有数据的每一年，泰国的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年坦桑尼亚为 208 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份坦桑尼亚泰国
2014106.3286.4
2013105.5289.1
2012108.4286.6
2011109286.4
2010103.9286
2009101.1286.9
2008100.3284.8
200799.5283.2
2006100.4284.3
200598.7281.7
2004100.4287.5
200399.6279.3
200298.4280
2001101.5285.5
200094.9283.4
199994.2282.5
199896.8282.7
199793.5284.8
199689.6279.8
199588.5278.7
199485.4280.8
199381.2275.6
199280.1268.8
199189.6276.7
199091.1279.2
198989.1278.4
198887.6279.6
198788.5277.9
198689.4277.5
198583276
198483.1277.9
198382.1273.9
198284.8275.7
198188277.8
198085277.9
197985.5278
197882.9276
197784.1277.3
197681275.6
197580.8274.4
197482.2276
197383.6280.6
197281.4273.9
197180.7273.2
197081.8276
196979.5274.8
196879.1277
196777.5270.3
196678.1274.4
196578275.8
196473.8271.9
196373.1274.7
196281.1275.4
196182.6278.5
196083.9276.2
195981.4274.4
195882.1278.7
195780.9277.4
195680277
195581.6274.6
195481.4275
195380.6275.4
195281.4275.1
195182.1277.5
195080.7276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份坦桑尼亚泰国
2015114.895.2–137.4290.6272.2–305
2016108.391.6–125.6287.1269.8–306.2
2017114.893.6–137.8290273.8–302.8
2018116.497.4–137.1292.6275.1–308.7
2019113.495.2–133.2291.2272.8–306.7
2020119.396.2–143.5292.4272.2–307.8
2021119.5100.9–147.1294.2276.3–308.5
2022124.4105.3–147.4294.8277.2–311.9
2023122.1102.1–147.8296.1281.9–310.2
2024126.2100–150.1291.7275.5–307.8
2025124.6100.9–154294276.7–306.3
2026126.999.1–155.6296278–309.3
2027128102.9–147.7295.8276.3–311.1
2028129.9106.4–152.1297279.3–315.1
2029134.1111–156.5300.3278.7–315
2030129.4106.4–151.1297.7280.2–312.5
2031136.4115.9–158.4300.8282.8–317.1
2032135.1114–166.8297.2280.9–311.4
2033135.2110.9–161.9300281.9–315.8
2034134.7112.5–166.3300.8279–318.4
2035140.2114.6–165298.6281.5–317.8
2036137.8113.3–165.5300.4279.9–316.9
2037142.9121.5–168.9299.8280–315.1
2038147.9124.3–169.3304.8286.6–319.3
2039144.3117.6–171.3300.9281.9–317
2040140.5117–178301.6284.5–315.7
2041149.1121.7–175.6303.1285.1–318.8
2042146.3120.5–185.3303.8290–318.3
2043144.6117–173302285.8–317.9
2044147.7121.2–175.8304.3286.3–318.8
2045150.1125.2–183.4307.1287.7–324.2
2046161.5128.6–192.2305.9285.2–321
2047160.2129.7–194.4306.6289.5–321.5
2048158.8132.7–193.1309.4288.9–325.7
2049157.6131.1–196308.1287.2–324.1
2050159.7127.8–192307.5291–321.5
2051163.2135.5–197.8312.8294.8–326
2052161.9136.2–199.1310.9291.2–323.4
2053160.6127.5–197.7308.3289.5–323.3
2054163.2131.5–200.2308.8292.8–322.3
2055167.4137–208.3308.6290.6–325.1
2056166.4130.8–209.7311.3294.9–326.3
2057168134.6–208.3308.5286.7–326.4
2058168.7134.9–210.3308291.1–325.1
2059174.7144.9–219.5312.7295.8–325.3
2060181.7138.1–219.8313.1294.6–328.6
2061171.8135.5–218.1314.4289.5–331.1
2062177.5139.9–224311.4293.4–330.3
2063181.4140.1–213.8314.8296.9–327.3
2064185.3140.1–215.2312.5295.4–330
2065183.5141.1–221.8309.6293.1–329.3
2066181.9146.3–219.3312.1292.6–328
2067178.8138.8–229.2311.2289.6–329.4
2068186144.2–228.4310.8292.4–330.6
2069183.7141.7–225.3315.5296.1–329.5
2070180.7140.4–228.2314.2292.9–330.7
2071184.9146.9–235.2313.8296.4–330.8
2072191.3155–226.1314.8296–329.6
2073191.6152.4–235.6316.5299.9–332.1
2074183.3149.7–231.7317.2295–333.8
2075183.8144.8–233317.2295.3–331.4
2076191.1150.9–233.2317.4299.8–335
2077191.3152.6–238.2317.5297.3–335.9
2078189156.6–233.8315.9297.1–331.6
2079190.5147–237.3318.5300.5–332.3
2080197.3150.7–241.2319.8297.4–337.5
2081195.6153.4–237.4317.7299.5–334.9
2082194.5157.3–237.3317.9294.8–333
2083193.2151–249.8315297.8–332.9
2084201.1152.2–246.7316295.5–330
2085204.2162.3–252.3322.6300.8–334.7
2086195156–248.7319.4295.2–335.2
2087196.7160.8–244.5320.2302.2–334.7
2088208.4154.7–246.9321.4299.8–334.8
2089201.3158.6–248.2318.9296.4–338.1
2090197.9160.7–253.6317.6304–337.4
2091210161.6–256320.1299.8–336.1
2092205.8158.3–253.6316.3298–336.4
2093207.2161.2–251.9316.1297.7–333.7
2094207.9161.3–250.6323.4301.8–337.3
2095214.2166.4–258.5322.9302.4–338.9
2096205.3159.8–257.4319.6302.8–336.7
2097206.6158.4–256.8319.8299.1–336
2098209.1161–258.3320.5303.9–336
2099208.5160.1–256319.9303.1–334.4
2100208158.6–258.6320.8301.1–336.7

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须知

  • 一年中气温始终高于 20 °C 的夜晚数，取全国平均。
  • 来源：World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
  • 虚线为CMIP6 模型中位数（SSP2-4.5，中间路径），是一种情景而非预报；阴影带为其模型第 10–90 百分位。
  • 气候模型值为 CMIP6 各模型的中位数：2014 年及以前按历史排放模拟，此后按中间路径 SSP2-4.5 模拟；它们并非实测数据。

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